Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 42,
  • Issue 10,
  • pp. 3621-3630
  • (2024)

Photonics-Based Integrated Radar Jamming and Secure Communication System at Ka-Band

Not Accessible

Your library or personal account may give you access

Abstract

The integrated radar jamming and secure communication system providing both false target and high physical layer transmission security will play an important role in future electronic warfare systems. In this letter, we present and experimentally validate a novel photonics-based integrated system that combines radar jamming with secure communication. The system incorporates velocity and range false targets generation for effective radar deception jamming, along with a secure communication function boasting a remarkable key space of 10156 with the help of Li's hyperchaotic model. The Ka-band radar deception jamming and chaotic encrypted communication signals are simultaneously generated by a photonic frequency upconverter, which consists of a Mach–Zehnder modulator (MZM), an optical filter, an in-phase/quadrature (I/Q) modulator, and dual-drive Mach–Zehnder modulator (DDMZM), and a photodetector (PD). In a proof-of-concept experiment, the generated velocity deception jamming signal extended beyond 40 GHz, achieving a remarkable spurious suppression ratio of over 30 dB. The range deception jamming is also investigated. Meanwhile, the chaotic encrypted 4 Gbaud 16 quadrature amplitude modulation (16QAM) and 32 quadrature amplitude modulation (32QAM) orthogonal frequency division multiplexing (OFDM) signals over a distance of 1 m are successfully demonstrated. The proposed scheme can reduce enemy radar detection capabilities and enhance communication security ability, which is required by future electronic warfare systems.

PDF Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.